Within3

In a Reuters Events Pharma survey, 85% of #pharma leaders who use a single #insightsmanagement platform said that it helps them generate and share insights more efficiently. We've got a resource to help you choose the right platform – in our buyer's guide, you'll learn: – What to know before investing in an insights management platform – Questions to ask when evaluating vendors – An overview of the buying process Download the guide: https://hubs.la/Q02DQ3dG0

Are the insights you're generating having a business impact? In a study on #pharma teams that missed key financial targets, 50% said the reason was that they did not have a good understanding of the market or the customer needs. Insights – and effective insights reporting – are essential.

The double-edged sword for #medicalaffairs: increasing impact, higher demand At a minimum, medical affairs teams must: - Gather - Analyze - Disseminate ...data-driven and timely insights. How are #pharma innovators using #AI to optimize this process? In a new white paper from Within3 and Reuters Events Pharma, get insight from leaders at Roche, Spark Therapeutics, Inc., Astellas Pharma, and UCB. https://hubs.la/Q02z-Z9s0

#AI is not a matter of replacing anything – it's a matter of enabling skilled humans to focus on high-value work. #Medicalaffairs teams: - Speak with researchers and physicians and thought leaders around the world - Capture rich observations from those interactions - Understand what’s happening on a given disease state or in a broader therapeutic area AI can analyze the data, report on it, and recommend next steps to humans who make critical decisions. Learn more from Within3 CTO Jason Smith: https://hubs.la/Q02BNMvg0

Why is #pharma starved of insights despite more data accumulating daily? Listen in: In this podcast episode from pharmaphorum, Within3 CEO Lance Hill explains that data from different sources is often fragmented, region-specific, and disconnected – slowing decision timeframes and depriving teams of the epiphany moments that permit the right actions and determine the trajectory of a therapy. How can #pharmaceutical teams sort through all of this information to surface meaningful insights? And what is the ultimate impact of failing to obtain those insights in a manner timely enough to impact critical decisions? 🔗 https://hubs.la/Q02DQ4nj0

What's the impact of thinking bigger? Could you: - Identify champions for your product at the earliest stages? - Build better relationships with key experts? - Avoid repetitive processes and reach your goals faster? Our #pharma client did all this and more: https://hubs.la/Q02D37sT0

Insights management strategy out of alignment? You're not alone 👇 ◐ About half of the #medicalaffairs leaders say they have too much data ◑ About half say they don't have enough How can #pharma leaders solve this dilemma? - Eliminate internal silos - Integrate info from disparate data sources - Improve insights reporting https://hubs.la/Q02z-9Mv0

Social monitoring is your key to staying informed without FOMO (fear of missing out). By tracking discussions about specific drugs, diseases, or events, your #pharma team can gain near real-time insights that inform strategic decisions. Learn how social listening can elevate your approach to market intelligence: https://hubs.la/Q02DQ4n00

Social monitoring is your key to staying informed without FOMO (fear of missing out). By tracking discussions about specific drugs, diseases, or events, your #pharma team can gain near real-time insights that inform strategic decisions. Learn how social listening can elevate your approach to market intelligence: https://hubs.la/Q02DQ4n00

For #AI in #pharma, success requires a path to realistic and measurable success. Neeraj Goel Mittal, Global Head of Data, Analytics, and AI at GSK, shared the importance of setting realistic expectations when integrating AI into pharma. ⏳ Timelines and data realities: “Leadership often expects insights to be immediate,” says Mittal. Patience and clear communication about timelines are essential. 💰 Cost-effectiveness: “Measuring cost-effectiveness is the start of the story. Once we establish these metrics, we can build upon them.” 📈 Key takeaway: Align AI projects with practical timelines and focus on measurable outcomes. This approach not only meets immediate goals but also lays the foundation for long-term success in AI initiatives. #pharmainnovation